Viveckh's Notepad

# Examples of Transferable Stories

When discussing your experience, connect what you know to Gen AI concepts:

  • ETL: "When building ETL pipelines, I focused on ensuring clean and efficient inputs, which directly translates to crafting precise and efficient AI prompts."
  • Data Science: "Tuning hyperparameters in machine learning models is akin to iteratively refining prompts for optimal AI responses."
  • Engineering Lead: "In leading projects, I ensured that systems integrated seamlessly, much like RAG pipelines that combine retrieval and generation workflows."
  • Text embedding using sentence_transformers, cosine similarity using sklearn

# Putting It All Together

# Real-World Applications

  • Healthcare: Retrieving medical records or research papers relevant to symptoms.
  • E-commerce: Recommending products similar to a query.
  • Customer Support: Finding FAQs or support tickets matching user queries.

# Vector Indexing:

  • Similar to building an index in SQL, but for high-dimensional embeddings.
  • Example: FAISS creates an "index" for fast similarity searches.

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